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Bidirectional comparison of nominal sets = asymmetry of proximity /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bidirectional comparison of nominal sets/ by Grazyna Szkatula, Maciej Krawczak.
Reminder of title:	asymmetry of proximity /
Author:	Szkatula, Grazyna.
other author:	Krawczak, Maciej.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xvii, 206 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction and main assumptions -- Issues of asymmetry of data proximity -- Matching between ordinary sets -- Matching between sets with binary coding -- Matching between multisets -- Matching between fuzzy sets -- Matching between intuitionistic fuzzy sets -- Summary and perspectives.
Contained By:	Springer Nature eBook
Subject:	Set theory. -
Online resource:	https://doi.org/10.1007/978-3-031-53096-8
ISBN:	9783031530968

Bidirectional comparison of nominal sets = asymmetry of proximity /
Szkatula, Grazyna.

Bidirectional comparison of nominal setsasymmetry of proximity /[electronic resource] :by Grazyna Szkatula, Maciej Krawczak. - Cham :Springer Nature Switzerland :2024. - xvii, 206 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 11401860-9503 ;. - Studies in computational intelligence ;v. 1140..

Introduction and main assumptions -- Issues of asymmetry of data proximity -- Matching between ordinary sets -- Matching between sets with binary coding -- Matching between multisets -- Matching between fuzzy sets -- Matching between intuitionistic fuzzy sets -- Summary and perspectives.

The authors propose a novel measure of proximity between two sets of nominal elements. This measure describes the changes in the first set after adding the second set or changes in the second set after adding the first set. It is crucial to note that this measure is not symmetric, it means that the perturbation of the first set on the second set can be different than the perturbation of the opposition direction. The introduced set impact measure allows for the direct treatment of objects described by nominal-valued attributes. The ordinary sets, multisets, fuzzy sets, and the intuitionistic fuzzy sets are considered. The book is intended for data science professionals, philosophers as well as cognitive psychologists, who struggle with practical problems in which asymmetry of proximity of objects cannot be neglected. The use of the proposed measures of perturbation between compared objects can be very important in data mining or in exploration of Internet resources.

ISBN: 9783031530968

Standard No.: 10.1007/978-3-031-53096-8doiSubjects--Topical Terms:

520081
Set theory.

LC Class. No.: QA248

Dewey Class. No.: 511.322

Bidirectional comparison of nominal sets = asymmetry of proximity /
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505 0 $a Introduction and main assumptions -- Issues of asymmetry of data proximity -- Matching between ordinary sets -- Matching between sets with binary coding -- Matching between multisets -- Matching between fuzzy sets -- Matching between intuitionistic fuzzy sets -- Summary and perspectives.
520 $a The authors propose a novel measure of proximity between two sets of nominal elements. This measure describes the changes in the first set after adding the second set or changes in the second set after adding the first set. It is crucial to note that this measure is not symmetric, it means that the perturbation of the first set on the second set can be different than the perturbation of the opposition direction. The introduced set impact measure allows for the direct treatment of objects described by nominal-valued attributes. The ordinary sets, multisets, fuzzy sets, and the intuitionistic fuzzy sets are considered. The book is intended for data science professionals, philosophers as well as cognitive psychologists, who struggle with practical problems in which asymmetry of proximity of objects cannot be neglected. The use of the proposed measures of perturbation between compared objects can be very important in data mining or in exploration of Internet resources.
650 0 $a Set theory. $3 520081
650 0 $a Proximity spaces. $3 2012855
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650 2 4 $a Mathematical and Computational Engineering Applications. $3 3592737
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